Implementation of PID and Fuzzy PID controllers for Temperature control in CSTR
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Abstract
Continuous Stirred Tank Reactor (CSTR) is an important subject in chemical process and offering a diverse range of researches in the
area of the chemical and control engineering. Various control approaches have been applied on CSTR to control its parameters. This paper
gives the demonstration about the temperature control of CSTR reactor using a fuzzy PID controller to meet the desired temperature in
presence of set point changes. The parameters of PID controller can be calculated by conducting Relay feedback on process. Fuzzy logic is one
of the most successful applications of fuzzy set in which the variables are linguistic rather than numeric. The development of an effective
methodology for the design of such control systems undoubtedly requires the synthesis of many concepts from artificial intelligence. The most
commonly used controller in the industry field is the PID controller. Fuzzy logic controller (FLC) provides an alternative to PID controller,
especially when the available system models are inexact or unavailable. A FLC is based on a set of control rules (fuzzy rules) among linguistic
variables. CSTR system is a typical chemical reactor system with complex non-linear dynamic characteristics. The fuzzy PID control algorithm
is designed for the flow process station to improve the control performance better than the conventional PID controller. PID controller works
well only if the mathematical model of the system could be computed. Hence it is difficult to implement PID control for variable as well as
complicated systems. The proposed method can be used to realize data process and advanced control to improve the quality of the control. The
simulation is carried out and the simulation results present the flexibility of the CSTR temperature control.
Keywords: CSTR, PID, Fuzzy controller, rule base, fuzzypid, MATLAB/SIMULINK.
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